Name
Title | ||
|---|---|---|
Using a genetic algorithm to register an uncalibrated image pair to a 3D surface model |
Abstract | ||
|---|---|---|
In this paper we present a successful application of genetic algorithms to the registration of uncalibrated optical images to a 3D surface model. The problem is to find the projection matrices corresponding to the images in order to project the texture on the surface as precisely as possible. Recently, we have proposed a novel method that generalises the photo-consistency approach by Clarkson et al. to the case of uncalibrated cameras by using a genetic algorithm. In previous studies we focus on the computer vision aspects of the method, while here we analyse the genetic part. In particular, we use semi-synthetic data to study the performance of different GAs and various types of selector, mutation and crossover. New experimental results on real data are also presented to demonstrate the efficiency of the method. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1016/j.engappai.2005.10.002 | Eng. Appl. of AI |
Keywords | Field | DocType |
semi-synthetic data,registration,uncalibrated camera,photo-consistency,genetic algorithm,uncalibrated image pair,uncalibrated images,different gas,uncalibrated optical image,genetic part,surface model,novel method,computer vision aspect,computer vision,synthetic data,genetics,optical imaging | Computer vision,Crossover,Matrix (mathematics),Photo-consistency,Computer science,Artificial intelligence,Genetic algorithm,Machine learning | Journal |
Volume | Issue | ISSN |
19 | 3 | Engineering Applications of Artificial Intelligence |
Citations | PageRank | References |
3 | 0.39 | 18 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zsolt Jankó | 1 | 33 | 5.94 |
| Chetverikov, D. | 2 | 956 | 99.89 |
| Anikó Ekart | 3 | 564 | 62.28 |